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    Design and Optimization of T1 Flip Flop in Bi-Directional RSFQ Logic

    , M.Sc. Thesis Sharif University of Technology Jabbari, Tahereh (Author) ; Fardmanesh, Mehdi (Supervisor)
    Abstract
    Superconducting Rapid Single Flux Quantum (RSFQ) Logic, is very fast (up to about THz) and ultra low power circuit technology and is the most recent and fastest superconducting logic family. So far one of the difficulties in RSFQ logic is associated to reading the circuit states in particular flip flops. In prevalent RSFQ logic using T1 Flip Flop gate instead of the T Flip Flop, the non-destructive reading of the registered bit is possible. Through this approach, it also has some limits in particular circuits. Another idea of resolving this issue, is considering the very new bi-directional RSFQ logic, which is based on alternative changing the bias current through the Josephson junctions.... 

    Optimization of SQUID NDE for Detection of the Defects in Metallic Samples

    , Ph.D. Dissertation Sharif University of Technology Sarreshtedari, Farrokh (Author) ; Fardmanesh, Mahdi (Supervisor) ; Kokabi, Hamid (Supervisor)
    Abstract
    The purpose of this thesis is the incorporation of RF SQUID ultra-sensitive magnetic sensors in an implemented SQUID NDE system and also the development of associated inverse solution algorithms for the detection of defects in metallic samples. The system is based on the induction of Eddy currents and the incorporation of SQUIDs for precise detection of the magnetic field anomalies related to the defects in the sample. One of the major parts of the system is the highly stable, multi-channel RF SQUID readout system which has been designed and implemented with novel features for this project. For the magnetic inverse analysis of our SQUID NDE measurements, new models have been presented for... 

    Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

    , Article Applied Optics ; Volume 60, Issue 30 , 2021 , Pages 9560-9569 ; 1559128X (ISSN) Pourdarbani, R ; Sabzi, S ; Rohban, M. H ; García Mateos, G ; Arribas, J. I ; Sharif University of Technology
    The Optical Society  2021
    Abstract
    The present study aims to estimate nitrogen (N) content in tomato (Solanum lycopersicum L.) plant leaves using optimal hyperspectral imaging data by means of computational intelligence [artificial neural networks and the differential evolution algorithm (ANN-DE), partial least squares regression (PLSR), and convolutional neural network (CNN) regression] to detect potential plant stress to nutrients at early stages. First, pots containing control and treated tomato plants were prepared; three treatments (categories or classes) consisted in the application of an overdose of 30%, 60%, and 90% nitrogen fertilizer, called N-30%, N-60%, N-90%, respectively. Tomato plant leaves were then randomly... 

    Assessment of plain and glass fiber-reinforced concrete under impact loading: a new approach via ultrasound evaluation

    , Article Journal of Nondestructive Evaluation ; Volume 38, Issue 4 , 2019 ; 01959298 (ISSN) Soleimanian, E ; Toufigh, V ; Sharif University of Technology
    Springer  2019
    Abstract
    Impact loading leads to micro-crack formation that can compromise the performance of the concrete. The purpose of this paper is to evaluate plain concrete and fiber-reinforced concrete specimens using ultrasound methods under impact loading. These specimens were prepared and subjected to impact loading. Ultrasound tests were performed at different stages of impact loading on each specimen. The loading continued until cracks on the surface of the specimens were observed. Investigations were performed for both plain concrete and fiber-reinforced concrete to establish a correlation between ultrasound response characteristics, and the damage caused by impact loading due to the energy of blows... 

    Damage detection of L-shaped beam structure with a crack by electromechanical impedance response: analytical approach and experimental validation

    , Article Journal of Nondestructive Evaluation ; Volume 39, Issue 2 , 2020 Hamzeloo, S. R ; Barzegar, M ; Mohsenzadeh, M ; Sharif University of Technology
    Springer  2020
    Abstract
    Damage detection and structural health monitoring using the electromechanical impedance method has been accepted as an effective technique between various approaches of nondestructive evaluation. Many efforts have been made on experimental methods for obtaining the impedance of structures. However, expensive experimental methods encourage researchers to develop theoretical models. In this paper, a new theoretical model is developed for damage detection of L-shaped beams, which are basic components in frame structures, with an embedded piezoelectric wafer active sensor. For this purpose, a chirp signal of voltage is used to activate a piezoelectric patch for inducing local strains that lead... 

    Convolutional neural networks for estimating the ripening state of fuji apples using visible and near-infrared spectroscopy

    , Article Food and Bioprocess Technology ; Volume 15, Issue 10 , 2022 , Pages 2226-2236 ; 19355130 (ISSN) Benmouna, B ; García Mateos, G ; Sabzi, S ; Fernandez Beltran, R ; Parras-Burgos, D ; Molina Martínez, J. M ; Sharif University of Technology
    Springer  2022
    Abstract
    The quality of fresh apple fruits is a major concern for consumers and manufacturers. Classification of these fruits according to their ripening stage is one of the most decisive factors in determining their quality. In this regard, the aim of this work is to develop a new method for non-destructive classification of the ripening state of Fuji apples using hyperspectral information in the visible and near-infrared (Vis/NIR) regions. Spectra of 172 apple samples in the range from 450 to 1000 nm were studied, which were selected from four different ripening stages. A convolutional neural network (CNN) model was proposed to perform the classification of the samples. The proposed method was... 

    Self-induced backaction in optical waveguides

    , Article Optics Express ; Volume 30, Issue 24 , 2022 , Pages 42967-42981 ; 10944087 (ISSN) Abbassi, M. A ; Mehrany, K ; Sharif University of Technology
    Optica Publishing Group (formerly OSA)  2022
    Abstract
    In this paper, we study the backaction effect on the force exerted upon Rayleigh particles in guided structures. We show that the backaction becomes stronger as the group velocity of the guided modes is decreased, which is not unexpected since the fall of group velocity increases the interaction time between the particle and the electromagnetic field. Interestingly, the sign of the group velocity affects the pushing and pulling nature of the exerted electromagnetic force. We specifically investigate the case of a single mode optical waveguide both in the propagating and evanescent regimes, and show that the backaction enables us to enhance the ratio of the potential depth to the trapping... 

    THz non-destructive testing for covered defects

    , Article 4th International Conference on Millimeter-Wave and Terahertz Technologies, MMWaTT 2016, 20 December 2016 through 22 December 2016 ; 2017 , Pages 45-47 ; 21570965 (ISSN); 9781509054145 (ISBN) Panahi, O ; Kheyrollahi Kouhanestani, M ; Yahyaei, B ; Mousavi, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    In this paper, a pulsed THz imaging system in normal geometry is presented experimentally and the effect of placing a pinhole in front of a covered sample on image quality has been investigated too. Also, the improvement of image quality by using ray transfer matrix is described theoretically. Finally, by using contour system the results are evaluated and the accuracy of THz imaging system is tested. © 2016 IEEE  

    Frozen leg operation of a three-phase dual active bridge DC/DC converter at light loads

    , Article Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC ; Volume 2018-March , 18 April , 2018 , Pages 3385-3391 ; 9781538611807 (ISBN) Haghbin, S ; Blaabjerg, F ; Yazdani, F ; Bahman, A. S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    A three-phase dual active bridge (DAB) converter is designed and constructed as the DC/DC stage of a 50 kW fast charger station. Recently introduced 300A SiC power modules and drivers are utilized in the converter to obtain a high efficiency. Each module has two interconnected switches with anti-parallel diodes resembling a converter leg. It is observed that the driver halts the module operation as a result of protective actions such as over-current, gate under-voltage, or gate overvoltage. In such case the module operates as a leg with two diodes until an external hardware signal resets the driver. The aim of this paper is to provide analysis, simulation and experiments for a three-phase... 

    Electromagnetic attenuation factor based nde approach for depth detection of hidden defects using HTS rf-SQUID

    , Article 27th Iranian Conference on Electrical Engineering, ICEE 2019, 30 April 2019 through 2 May 2019 ; 2019 , Pages 360-363 ; 9781728115085 (ISBN) Rostami, B ; Shanehsazzadeh, F ; Fardmanesh, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    We present a new approach for non-destructive evaluation (NDE) in homogeneous and isotropic metallic objects which contain defects at unknown depths based on single scan and multi frequency excitation. As known, there is an optimum frequency for each depth of defect. Finding the depth of an unknown defect requires us to find the optimal frequency. In conventional single frequency methods, the optimal frequency is obtained by applying a wide range of frequencies to the system separately and comparing the corresponding results in a time-consuming process. Conventional multi frequency inspections were introduced to obtain more information about test specimens. There are two ways to apply... 

    Estimation of water coverage ratio in low temperature PEM-fuel cell using deep neural network

    , Article IEEE Sensors Journal ; Volume 20, Issue 18 , May , 2020 , Pages 10679-10686 Mehnatkesh, H ; Alasty, A ; Boroushaki, M ; Khodsiani, M. H ; Hasheminasab, M. R ; Kermani, M. J ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Proton exchange membrane fuel cell (PEMFC) is a rich source of renewable energy. A non-destructive prediction method is needed to determine the content of water in the PEMFC. In the gas channel of a transparent PEMFC, water is detected with image processing. This method has a high computational cost and is sensitive to the initial position of the camera and ambient lighting. In this paper, the deep neural network (DNN) has been trained to learn the transparent PEMFC's labeled images as a way to determine the content of water, limit human interference and employed in a real-time process. This DNN model is a virtual sensor for measuring the water coverage ratio. To produce the label of images,... 

    Use of polymer fibres recovered from waste car timing belts in high performance concrete

    , Article Construction and Building Materials ; Volume 80 , April , 2015 , Pages 31-37 ; 09500618 (ISSN) Khaloo, A. R ; Esrafili, A ; Kalani, M ; Mobini, M. H ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    The present paper discusses the possibility of adding recycled polymer fibres to high performance concrete (HPC). Fibres used in this study were recovered from discarded car timing belts. To investigate different characteristics of the concrete specimens several destructive and non-destructive tests, such as compressive strength, modulus of rupture, flexural toughness, ultrasonic velocity and electrical resistance tests were carried out. In addition, slump flow tests were conducted on the fresh concrete. Experimental results from the study showed that the use of low percentages (up to 0.5%) of waste fibres improved the modulus of rupture and flexural toughness. Based on ultrasonic and... 

    Influence of different types of nano-SiO2 particles on properties of high-performance concrete

    , Article Construction and Building Materials ; Volume 113 , 2016 , Pages 188-201 ; 09500618 (ISSN) Khaloo, A ; Mobini, M. H ; Hosseini, P ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    The aim of this study was to evaluate the effects of applying low replacement ratios (0.75% and 1.50% of the binder weight) of nano-SiO2 particles with different specific surface areas (200 and 380 m2/g) on the properties of high-performance concrete (HPC). Mechanical (compressive and splitting tensile strengths), electrical resistivity, non-destructive (ultrasonic pulse velocity), and microstructural (mercury intrusion porosimetry, X-ray diffraction, and scanning electron microscopy) tests were conducted to investigate the macroscopic and microscopic effects of nano-SiO2 particles on HPC characteristics. The results indicated that the performance of nano-SiO2 particles significantly... 

    Optimizing the mixture design of polymer concrete: An experimental investigation

    , Article Construction and Building Materials ; Volume 167 , 2018 , Pages 185-196 ; 09500618 (ISSN) Jafari, K ; Tabatabaeian, M ; Joshaghani, A ; Ozbakkaloglu, T ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Over the last few decades, polymer concrete (PC) has been finding use in quick repairing of concrete structures. However, there have been only few studies on the mechanical behavior of PC. The aim of this study is to evaluate the mechanical behavior of PC using destructive and non-destructive tests (NDT). The mixtures were prepared with three different polymer ratios (10%, 12%, and 14%) and two different coarse aggregate sizes (4.75–9.5 mm and 9.5–19 mm). The samples were subsequently tested under three different temperatures (−15 °C, +25 °C, and +65 °C). The Taguchi method and analysis of variance (ANOVA) were used to optimize PC mixes based on the compressive, splitting-tensile, and... 

    Advanced damage detection technique by integration of unsupervised clustering into acoustic emission

    , Article Engineering Fracture Mechanics ; 2018 ; 00137944 (ISSN) Behnia, A ; Chai, H. K ; GhasemiGol, M ; Sepehrinezhad, A ; Mousa, A. A ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    The use of acoustic emission (AE) technique for damage diagnostic is typically challenging due to difficulties associated with discrimination of events that occur during different stages of damage that take place in a material or a structure. In this study, an unsupervised kernel fuzzy c-means pattern recognition analysis and the principal component method were utilized to categorize various damage stages in plain and steel fiber reinforced concrete specimens monitored by AE technique. Enhancement of the discrimination and characterization of damage mechanisms were achieved by processing time and frequency domain data. Both domains (time and frequency) were taken into account to propose new... 

    Advanced damage detection technique by integration of unsupervised clustering into acoustic emission

    , Article Engineering Fracture Mechanics ; Volume 210 , 2019 , Pages 212-227 ; 00137944 (ISSN) Behnia, A ; Chai, H. K ; GhasemiGol, M ; Sepehrinezhad, A ; Mousa, A. A ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The use of acoustic emission (AE) technique for damage diagnostic is typically challenging due to difficulties associated with discrimination of events that occur during different stages of damage that take place in a material or a structure. In this study, an unsupervised kernel fuzzy c-means pattern recognition analysis and the principal component method were utilized to categorize various damage stages in plain and steel fiber reinforced concrete specimens monitored by AE technique. Enhancement of the discrimination and characterization of damage mechanisms were achieved by processing time and frequency domain data. Both domains (time and frequency) were taken into account to propose new... 

    The effects of stabilizers on the thermal and the mechanical properties of rammed earth at various humidities and their environmental impacts

    , Article Construction and Building Materials ; Volume 200 , 2019 , Pages 616-629 ; 09500618 (ISSN) Toufigh, V ; Kianfar, E ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The overall behavior of rammed earth (RE) as a low embodied energy construction method can be enhanced by using stabilizers. Several studies have been performed on cement and lime stabilized RE. However, studies on other additives, especially the sustainable ones, are limited. In this research, the effect of stabilizers including cement, pozzolan, microsilica, fiberglass, guar gum and phase change material (PCM) was evaluated on the performance of RE mixtures. The mixtures were assessed by considering the durability, shrinkage, thermal conductivity, mechanical properties and their sensitivity to the humidity. Then, the correlations were determined between the mechanical properties and the... 

    Applications of ultrasonic testing and machine learning methods to predict the static & fatigue behavior of spot-welded joints

    , Article Journal of Manufacturing Processes ; Volume 52 , 2020 , Pages 26-34 Amiri, N ; Farrahi, G. H ; Kashyzadeh, K. R ; Chizari, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Ultrasonic Testing (UT) is one of the well-known Non-Destructive Techniques (NDT) of spot-weld inspection in the advanced industries, especially in automotive industry. However, the relationship between the UT results and strength of the spot-welded joints subjected to various loading conditions is unknown. The main purpose of this research is to present an integrated search system as a new approach for assessment of tensile strength and fatigue behavior of the spot-welded joints. To this end, Resistance Spot Weld (RSW) specimens of three-sheets were made of different types of low carbon steel. Afterward, the ultrasonic tests were carried out and the pulse-echo data of each sample were... 

    Effect of polymer content and temperature on mechanical properties of lightweight polymer concrete

    , Article Construction and Building Materials ; Volume 260 , 2020 Heidarnezhad, F ; Jafari, K ; Ozbakkaloglu, T ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    This study investigates the mechanical properties of lightweight polymer concrete (LWPC) containing four different polymer ratios (10%, 12%, 14%, and 16%) tested at three different temperatures (−15 °C, +5 °C, and +25 °C) using destructive and non-destructive tests. In addition, a series of expressions are suggested to predict the splitting-tensile, flexural and impact strength of LWPC based on the main parameters and compressive strength. The analysis of variance (ANOVA) method was also used to determine relative contributions of the experimental parameters. The results of the destructive tests show that increasing the polymer ratio caused an increase in the compressive, splitting-tensile,... 

    Laboratory and in situ investigation of the compressive strength of CFRD concrete

    , Article Construction and Building Materials ; Volume 242 , 2020 Vatani Oskouei, A ; Nazari, R ; Houshmand Khaneghahi, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    One of the most essential and costly stages in Concrete Face Rockfill Dams (CFRD) construction is to implement the concrete at the upstream face of the dam without joints. As the face concrete is considered as the most integral part to prevent water penetration in CFRDs, it's quality control is of paramount importance. One of the conventional approaches for quality control of the concrete which is used in CFRD is the compressive strength of laboratory samples. The comparison of laboratory and in situ measurements provides information about the accuracy of the obtained results. This research investigates the correlation of concrete compressive strength determined by using different methods in...